ZIRA FMS with wide variety of unique, state-of-the-art fraud detection and prevention technologies, including new subscriber evaluation, best in class network traffic and usage monitoring, is developed to help operator solve the problem of telecoms fraud worldwide. ZIRA FMS uses intelligent and unique detection technology, and accepts multiple data feeds to allow all types of product or services to be monitored.
Adaptive Fraud Detection
Based on intelligent techniques
and self-learning rules, allows the system to deal with the constantly
changing nature of fraud attacks.
Customer Profiling
Customer
Profiling is a method designed to discover deviations from standard
behavior at individual level. As a base of adaptive fraud detection,
Customer Profiling comprise analysis of customer calling behavior in
order to detect any deviation indicating fraud.
Flexible Thresholds Definition
Thresholds
definition can be based on predefined Customer Profile or overall
Telco’s limitation for particular services. Both Originating and
Terminating usage thresholds are supported. Furthermore, ZIRA FMS
provides Statistical Thresholds Definition based on customer’s average
usage for particular period of time.
Fingerprinting
Fingerprinting
method is based on fraudulent user behavior analysis. ZIRA’s
Fingerprinting method tries to identify fraud through identification of
excessive call behavior stored in Fraud User Patterns.
Hot Lists Definition
Designed
as a tool for ad-hoc evaluation and monitoring of potentially
fraudulent customers, Hot lists can be defined and based on various
inputs: A number list, B number list, IMSI list, IMEI list, Suspicious
geographic cell … Importing of hot lists (.csv) or manual creation is
supported.
Intelligent Case Manager
Developed as a tool
for monitoring and investigation, Case Manager provides grouping of
related alarms. Based on category or attributes assigned, newly
generated alarms can be automatically (or manually) merged into single
case or correlated with existing cases. Case workflow definition can be
customized, thus to easily adopt the business processes and SLAs of the
organization. In order to support case tracking and investigation,
following features have been added: search and sort cases on the fly,
filtering based on single/multiple conditions, archive cases, automatic
reminders on cases, notification through SMS or Email.
Alarm Manager
ZIRA
FMS supports intelligent alarm generation from created events,
supported by Rule Based Alarm Engine. FMS Alarm engine supports action
assignment which can be executed manually or automatically upon alarm
generation.
Action Manager
ZIRA FMS flexible Action
Management supports two type of actions: Manual Actions - executed by
Fraud Management System users; Automatic Actions - executed
automatically by Fraud Management System. Actions are related to FMS
User (e.g. barring of different services, subscriber suspension,
reactivation, sending warning SMS) and to Telecom Customers (e.g.
sending of warning emails or SMS).
Call Query Tool
Call query tool with flexible filtering options provides the ability of xDR examination and report generation.
Predefined Reports
ZIRA
FMS provides large number of predefined reports that can be generated:
Operator Actions, Data Acquisition Reports, Suspension Reports, Actions
based on agent, Active filter report, Agent statistics, Alarm efficiency
statistics, Credit limit control, Currently deactivated, Currently
suspended, Deactivations, Event statistics, Exceeded credit limit, Fraud
bad debt, Fraud cases for current day, Friends statistics, Generated
events, Heavy user (friend numbers), Load statistics, Period statistics,
Solved events and cases, Status report, Suspension statistics, Team
statistics …
ZIRA FMS detects the following fraud types in the telco domain
through all network and services:
Call Sell Fraud (VOIP, Illegal gateway, SIMBOX)
Flat rate abuse
Cloning Fraud
Subscription Based Fraud
Premium Rate Services Fraud (including IRSF)
Account Refill related Fraud
Dealer fraud
Internal Fraud
PBX Fraud
CPE & Clip-On Fraud
Roaming Fraud
M-commerce Fraud